Award Data

Pipeline operators employ cleaning tools for improving product throughput, inhibiting corrosion, and preparing their pipes for inline inspection. For many pipeline risk models, improving the scope and quality of input data is a long-term process. If the combined cost of pigging and inspecting was low and could be done simultaneously, pipeline operators would be encouraged to perform inspections mo ...

This proposal consists of an innovative integrated solution for damage diagnosis of bridge structures using a non-contact image-based measurement methodology. High-resolution and regular camera systems will be used to capture the bridge movements and the traffic passing the bridge, respectively. Computer vision techniques will be used to extract the deflection time-histories of the bridge as well ...

Research conducted in Phase I identified a range of data sources providing vehicle related information to consumers shopping around or interested in knowing more about vehicles. Majority of the commercial data sources focused on vehicle features, new/used/CPO pricing, and vehicles listings. Such data sources lacked safety as their central focus, which is a concern for U.S. Department of Transporta ...

The DOT seeks an integrated unit capable of identifying and tracking individual vehicles with high accuracy using multiple vehicle detection inputs, including video images, radar-based detection, and vehicle-to-everything radio signal inputs (DSRC, cellular-V2X), with a deep learning-based engine to fuse collected data. To address this DOT need, Physical Optics Corporation (POC) proposes to contin ...

The SBIR Phase II proposal outlines the approach of Night Crew Labs (NCL) in designing, and developing, and testing a system prototype to perform Global Navigation Satellite System radio occultations (GNSS-ROs) from a high-altitude balloon platform. NCL will continue building from the positive results achieved in Phase I that successfully demonstrated the feasibility of performing balloon-borne GN ...

Previous efforts have demonstrated that targeted observations of tropical storms by UAS can provide extremely valuable data sets for improving forecasts and models, but are also difficult to obtain. A number of obstacles including regulations and the distance required to intercept evolving storms have limited the number of land based flights. The use of airborne deployed UAS have recently overcome ...

Phase-1 demonstrated the powerful and unusual remote sensing opportunities available by adding acoustic signal detection to pop-up satellite tags (PSAT). The time and location of spawning define the starting point in the life history of fish. Yet this event, which is of critical importance to fishery researchers and managers seeking to gain an understanding of distinct reproductive populations and ...

Subsurface mooring beacons are used to provide notifications and assist in locating moored assets that have surfaced and are free drifting. Their nominal design is driven by the requirements for offshore use where they need to survive extreme depths and remote deployment, most often using satellite constellations for communication and geo-location. Existing beacons serve their purpose well, but th ...

This project will develop and demonstrate an inexpensive and portable calibration system for low-cost aerosol sensors. Current calibration methods are cost prohibitive and lack generalizability from one location (or season) to the next, making them impractical for implementation. Access Sensor Technologies (AST) proposes to improve and validate a solar powered aerosol reference calibrator (SPARC) ...

The presence of fog reduces visibility, contributing to unsafe conditions for many maritime tasks. The current system uses active backscatter and has high power requirements, high maintenance and replacement costs. Areté Associates’ innovative FogViewer system comprises a passive multi-spectral, multi-polarization sensor suite that leverages available degrees of freedom to best characterize the ...